Analysis Technology of Tennis Sports Match Based on Data Mining and Image Feature Retrieval

Hindawi Complexity Volume 2020, Article ID 8877161, 15 pages https://doi.org/10.1155/2020/8877161 Research Article Analysis Technology of Tennis Sports Match Based on Data Mining and Image Feature Retrieval Hong Huang and Risheng Deng School of Sports Science, Lingnan Normal University, Zhanjiang, Guangdong 524048, China Correspondence should be addressed to Risheng Deng; [email protected] Received 3 September 2020; Revised 25 September 2020; Accepted 30 September 2020; Published 14 October 2020 Academic Editor: Chuan Lin Copyright © 2020 Hong Huang and Risheng Deng. )is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Tennis game technical analysis is affected by factors such as complex background and on-site noise, which will lead to certain deviations in the results, and it is difficult to obtain scientific and effective tennis technical training strategies through a few game videos. In order to improve the performance of tennis game technical analysis, based on machine learning algorithms, this paper combines image analysis to identify athletes’ movement characteristics and image feature recognition processing with image recognition technology, realizes real-time tracking of athletes’ dynamic characteristics, and records technical characteristics. Moreover, this paper combines data mining technology to obtain effective data from massive video and image data, uses mathematical statistics and data mining technology for data processing, and scientifically analyzes tennis game technology with the support of ergonomics. In addition, this paper designs a controlled experiment to verify the technical analysis effect of the tennis match and the performance of the model itself. )e research results show that the model constructed in this paper has certain practical effects and can be applied to actual competitions. 1. Introduction the game can obtain and find more valuable information and laws in a timely and accurate manner to make up for the Compared with traditional, technical, and tactical analysis deficiencies of traditional statistical methods. )erefore, it is methods, data mining technology can more clearly describe necessary for tennis players to use data mining technology to and analyze the process and sequence of each hitting assist them in making technical and tactical decisions [2]. technique, such as the position and route of the shot, and the Compared with the popularity of established sports such process and sequence of winning and losing points. as football and basketball, tennis has relatively few followers. Moreover, it can help coaches to better grasp the com- However, with the development of mass sports and the monalities and characteristics of players’ skills and tactics, influence of international tennis, tennis has developed and provide reference and basis for the use of skills and rapidly in my country in recent years. Moreover, more and tactics in future training and games [1]. In recent years, with more people have begun to pay attention to large-scale the increase of opportunities for domestic players to par- tennis matches, and the annual four Grand Slam matches ticipate in the competition, the increasingly abundant game and various masters have attracted the attention of many videos have made the accumulation of technical and tactical fans [3]. )e Tennis Open has introduced “Eagle Eye” data in the game continue to increase. How to explore the technology, which can accurately determine whether the ball technical and tactical characteristics of excellent players is out of bounds. Players have two applications for the right from the rich data and provide a basis for the scientific to use Hawkeye in each set. After the referee accepts the decision-making of coaches and athletes has become one of application, they will broadcast the “Instant Replay” on the the key and urgent problems in tennis theoretical research. big screen to present the results of Hawkeye’s calculation. In addition, the use of data mining technology to analyze the )e system takes no more than 10 seconds from data col- technical and tactical characteristics and laws of athletes in lection to result presentation. However, the system is 2 Complexity composed of 8 or 10 high-speed cameras, four computers develop the best type should be players with comprehensive and a large screen, which makes the cost very high, and the skills. For this reason, coaches and athletes should ensure amount of calculations when processing the collected data is that training sessions and personal training include five very large [4]. Based on this, this article uses big data actual combat training items: serving, receiving, bottom technology to analyze tennis sports matches, combined with counter attack, cross-ball, and online volley. )e literature machine vision to identify sports scenes, and improve the [12] believed that most players play more defensively than analysis effect of tennis sports matches. offensively during the game. Even so, the result is that the mistakes in the game are greater than the active scoring, and 2. Related Work in the game, the risk of offense is greater than that of defense. )e literature [13] studied the differences in the tactics used )e literature [5] pointed out that when analyzing players by all-round players in the face of different play types. In the and correcting their movements, a correct understanding of face of serving and Internet players, all-round players often biomechanics will help coaches avoid focusing on peculiar, have to improve their first serve success rate; that is, it does seemingly uncomfortable shots and help them focus on the not hurt to spin more and slow down when serving. timing of shots. )e literature [6] proposed that the sequence Moreover, by changing the serve point, all-round players can of tennis coordination chain body segments is from the foot, serve the opponent’s body more often, thus avoiding the hip, upper body, arm or shoulder, and elbow to wrist, and opponent’s direct attack when receiving the serve. )e lit- biomechanics is from knee flexion, hip rotation, body ro- erature [14] mentioned that the two-handed backhand tation, arm around shoulder, elbow extension, and forearm stroke technique is the backhand stroke technique used by internal rotation to wrist rotation. )e literature [7] analyzed most athletes. Some athletes who are born with height and the throw technique of tennis players in the Atlanta Olympic strength conditions are not particularly dominant, but have Games and showed that the throwing position is in front of good flexibility and fast speed, and can use the two-handed the front foot or left front. High-speed camera technology is backhand technique to better develop their tennis potential. used for player analysis. )e results show that many ex- At the same time, it recommends that players strengthen cellent players start to hit the ball after the ball has started to their physical fitness while learning to use the two-handed fall (25–20 cm). backhand technique, and continuously improve their tennis )e literature [8] mentioned technology alone cannot IQ, so that they can master the technique more quickly and win the game; even if the technology is improved in daily promote the popularization of tennis. )e literature [15] training, if it cannot be played in the actual game, it is divided the technique of receiving and serving into two meaningless. At the same time, it is also mentioned that sections in the research of receiving and serving tennis. tennis is essentially control and anticontrol, and if the athlete Among them, one is the front section of the shot, and the controls the opponent throughout the game, he will defi- other is the shot section. )e front part of the shot is nitely be able to win the game. Moreover, it is not only composed of three parts: grip, position, and body posture. superlevel performance that can succeed. If the opponent )e position is generally near the bottom line and close to can barely deal with it, the game will inevitably develop the sideline of singles, but the position should be selected towards the side that is beneficial to oneself, and then victory according to the serving power and spin of the server and can be expected. )e literature [9] mentioned that in today’s one serve and two serve. )e literature [16] used the women’s games, offense after serving is a very common knowledge of system theory to conduct in-depth research on tactic. )e sooner the athletes play, the better. Moreover, the tennis serve when exploring the tennis serve system, and best measure is to start within the bottom line, which can put believed that tennis serve is not just a technical action, but a more pressure on the opponent. After serving, the backhand complete system. )e literature [17] pointed out that the attacking athletes use the backhand to grab high points from speed of serving is an effective way to affect the opponent’s the baseline, which sometimes poses a greater threat to the offensiveness and direct scoring. Under the condition of a opponent than hitting hard. )at is, it is commonly referred certain speed, the player’s choice of the ball’s landing point to as turning back. )e literature [10] analyzed the im- can avoid the opponent’s special skills and attack the op- pression of female tennis players from physical, technical, ponent’s weakness, which can more effectively restrain the and psychological factors, and elaborated on the charac- opponent’s performance and win the victory of the serve. teristics and trend distribution of the playing styles in )e literature [18] used the American Peak three-dimen- modern female tennis. Moreover, it proposed that today’s sional high-speed video system and the video analysis system female tennis players have great offensive skills, and there of the Aijie Human Information Institute to measure and will be more female players adopting more active offensive analyze the kinematics data of the strong serve technique of styles.

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